Senior Technical Product Manager, AI-Driven Operations

Starbucks Corp.

Seattle (WA)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Dental & Vision
401(k) plan with match
Tuition coverage
Paid parental leave
Paid vacation
Stock program

Job summary

Starbucks Coffee Company is seeking a Senior Technical Product Manager to shape technology for coffeehouse operations, partnering across business and technology teams to simplify workflows and connect data and systems.

You will lead end-to-end delivery, translate complex needs into requirements, explore AI-driven improvements, and mentor teams while ensuring security, scalability, and measurable outcomes across stores and partners.

Qualifications

  • ,

Responsibilities

  • Own product strategy, roadmap, priorities, and measurable outcomes for coffeehouse operations tech.
  • Lead planning and day-to-day decisions with stakeholders, architects, engineering, UX, data, security, QA, and operations.
  • Translate complex workflows into clear product requirements and scalable technical solutions.
  • Drive end-to-end delivery for enterprise applications, balancing continuity and modernization.
  • Identify opportunities to apply AI and automation to improve decision making and experiences.
  • Define performance, adoption, reliability, and effectiveness measures and use insights for improvement.

Skills

Product management
Roadmaps & backlogs
APIs & integrations
Cloud platforms
AI-assisted development
Cross-functional collaboration
Stakeholder management
Agile methodologies

Education

Bachelor's degree or equivalent experience in a related field

Tools

Microsoft Azure

Job description

Starbucks Coffee Company is seeking a Senior Technical Product Manager to shape technology for coffeehouse operations, partnering across business and technology teams to simplify workflows and connect data and systems.

You will lead end-to-end delivery, translate complex needs into requirements, explore AI-driven improvements, and mentor teams while ensuring security, scalability, and measurable outcomes across stores and partners.

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